pyriemann.utils.covariance.normalize

pyriemann.utils.covariance.normalize(X, norm)

Normalize a set of square matrices, using corr, trace or determinant.

Parameters:

Xndarray, shape (…, n, n)

Set of square matrices, at least 2D ndarray. Matrices must be invertible for determinant-normalization.

norm{“corr”, “trace”, “determinant”}

Type of normalization:

• “corr”: normalized matrices are correlation matrices, with values in [-1, 1] and diagonal values equal to 1;

• “trace”: trace of normalized matrices is 1;

• “determinant”: determinant of normalized matrices is +/- 1.

Returns:

Xnndarray, shape (…, n, n)

Set of normalized matrices, same dimensions as X.